Application of grammatical evolution to coefficient identification problem in two-dimensional elastic problem

• Autorzy: Kuroda T. , Sugiura H. , Kita E.
• Języki publikacji: EN

Abstrakty

EN

Grammatical evolution (GE), which is a kind of evolutionary algorithms, is designed to find a function, an executable program or program fragment that will achieve a good fitness value for the given objective function to be minimized. In this study, GE is applied for the coefficient identification problem of the stiffness matrix in the two-dimensional elastic problem. Finite element analysis of the plate with a circular hole is performed for determining the set of the stress and the strain components. Grammatical evolution determines the coefficient matrix of the relationship between the stress and strain components. The coefficient matrix is compared with Hooke's law in order to confirm the validity of the algorithm. After that, three algorithms are shown for improving the convergence speed of the original GE algorithm.

Słowa kluczowe

EN

grammatical evolution; Backus-Naur form; coefficient matrix; plane strain state

PL

ewolucja gramatyczna; Backus-Naur; współczynnik macierzy; płaski stan odkształceń

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2013
• Tom: Vol. 20, no. 1
• Strony: 3--13
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Kuroda T.

• Graduate School of Information Science, Nagoya University, Nagoya 464-8601, Japan

autor

Sugiura H.

• Graduate School of Information Science, Nagoya University, Nagoya 464-8601, Japan

autor

Kita E.

• Graduate School of Information Science, Nagoya University, Nagoya 464-8601, Japan

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